---
id: 6618a3264f955339063d3328
title: Step 24
challengeType: 0
dashedName: step-24
---

# --description--

To find the median of an even list of numbers, you need to find the two middle numbers and calculate the mean of those numbers.

Here is how to find the two middle numbers of an even list of items:

```js
// first middle number
arr[arr.length / 2];
// second middle number
arr[(arr.length / 2) - 1];
```

To find the median, you can use the `getMean` function which adds the middle numbers and divides the sum by `2`.

```js
const numbers = [1, 2, 3, 4];
const firstMiddleNumber = numbers[numbers.length / 2];
const secondMiddleNumber = numbers[(numbers.length / 2) - 1];
// result is 2.5
getMean([firstMiddleNumber, secondMiddleNumber]);
```

Create an `evenListMedian` variable and assign it the result of finding the median of the `testArr2`.

Then, log the `evenListMedian` variable to the console.

# --hints--

You should have a variable named `evenListMedian`.

```js
assert.isDefined(evenListMedian);
```

You should assign the result of finding the median of the `testArr2` to the `evenListMedian` variable. Refer back to the example for extra help.

```js
assert.strictEqual(evenListMedian, 3.5);
```

You should log the `evenListMedian` variable to the console.

```js
assert.match(code, /console\.log\(\s*evenListMedian\s*\)/);
```

# --seed--

## --seed-contents--

```html
<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="utf-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1" />
    <link rel="stylesheet" href="./styles.css" />
    <script src="./script.js"></script>
    <title>Statistics Calculator</title>
  </head>
  <body>
    <h1>Statistics Calculator</h1>
    <p>Enter a list of comma-separated numbers.</p>
    <form onsubmit="calculate(); return false;">
      <label for="numbers">Numbers:</label>
      <input type="text" name="numbers" id="numbers" />
      <button type="submit">Calculate</button>
    </form>
    <div class="results">
      <p>
        The <dfn>mean</dfn> of a list of numbers is the average, calculated by
        taking the sum of all numbers and dividing that by the count of numbers.
      </p>
      <p class="bold">Mean: <span id="mean"></span></p>
      <p>
        The <dfn>median</dfn> of a list of numbers is the number that appears in
        the middle of the list, when sorted from least to greatest.
      </p>
      <p class="bold">Median: <span id="median"></span></p>
      <p>
        The <dfn>mode</dfn> of a list of numbers is the number that appears most
        often in the list.
      </p>
      <p class="bold">Mode: <span id="mode"></span></p>
      <p>
        The <dfn>range</dfn> of a list of numbers is the difference between the
        largest and smallest numbers in the list.
      </p>
      <p class="bold">Range: <span id="range"></span></p>
      <p>
        The <dfn>variance</dfn> of a list of numbers measures how far the values
        are from the mean, on average.
      </p>
      <p class="bold">Variance: <span id="variance"></span></p>
      <p>
        The <dfn>standard deviation</dfn> of a list of numbers is the square
        root of the variance.
      </p>
      <p class="bold">
        Standard Deviation: <span id="standardDeviation"></span>
      </p>
    </div>
  </body>
</html>
```

```css
body {
  margin: 0;
  background-color: rgb(27, 27, 50);
  text-align: center;
  color: #fff;
}

button {
  cursor: pointer;
  background-color: rgb(59, 59, 79);
  border: 3px solid white;
  color: white;
}

input {
  background-color: rgb(10, 10, 35);
  color: white;
  border: 1px solid rgb(59, 59, 79);
}

.bold {
  font-weight: bold;
}
```

```js
const getMean = (array) => array.reduce((acc, el) => acc + el, 0) / array.length;

--fcc-editable-region--
const testArr1 = [1, 2, 3, 4, 5];
const testArr2 = [1, 2, 3, 4, 5, 6];
const isEven = testArr2.length % 2 === 0;
console.log(isEven);
const oddListMedian = testArr1[Math.floor(testArr1.length / 2)];
console.log(oddListMedian);

--fcc-editable-region--
const getMedian = (array) => {
  const sorted = array.sort((a, b) => a - b);
}

const calculate = () => {
  const value = document.querySelector("#numbers").value;
  const array = value.split(/,\s*/g);
  const numbers = array.map(el => Number(el)).filter(el => !isNaN(el));

  const mean = getMean(numbers);

  document.querySelector("#mean").textContent = mean;
}
```
